Aside

Contact

Language Skills

A tibble: 9 x 1

skill

1 R
2 SQL
3 Visualization
4 Statistics
5 Machine Learning 6 A/B Testing
7 Looker/lookml
8 Git
9 Python

Main

Lisa Oshita

I am a blah blah blah seeking blah blah blah

Education

B.S. Statistics

California Polytechnic State University

San Luis Obispo, CA

Dec 2018 - Sept 2014

Selected Positions

Data Science Intern

Brandless, Inc.

San Francisco, CA

Sept 2018 - June 2018

  • Implemented email marketing strategy to target unconverted customers with specific promotions, based on random forest predictions of average order value
  • Developed classifier to predict retention based on early shopping behavior
  • Worked on box recommendation algorithm to minimize empty space and two-box shipments to enable cost savings of > $100,000
  • Performed text mining, sentiment analysis on customer feedback to derive insights on overall trends in opinion

Undergraduate Researcher

iFixit, Cal Poly Department of Statistics

San Luis Obispo, CA

Sept 2017 - June 2017

  • Modeled response times of questions on iFixit’s Q&A forum, using Cox regression, to predict question survival probabilities, identify signficantly associated factors
  • Implemented Shiny app to allow users to compute survival probabilities for any set of questions

Data Scientist, Analytics

Brandless, Inc.

San Francisco, CA

Feb 2020 - Jan 2019

  • Advised A/B tests, investigated alternative experimentation methods, e.g. Non-Inferiority Tests, for optimized, faster testing
  • Constructed, improved Redshift tables, Looker dashboards, metrics, backend infrastructure to support both data and external team functions
  • Performed deep-dive analyses into user-site behavior to guide product decisions
  • Worked with Marketing to identify profitable, loyal customers to target with email campaigns, product recommendations and promotions based on segmentation and order history
  • Developed models to predict interest in CBD, perceived CBD efficacy and retention based on preferences and demographic information obtained from survey responses, to inform CBD Product Finder Quiz design

Data Science Intern

Air Pollution Control District

San Luis Obispo, CA

Dec 2018 - Mar 2018

  • Implemented R, Python scripts to automate AirAware text alerts sent to local residents
  • Optimized alert system with cumulative, seasonally-varying threshold algorithm to proactively trigger texts
  • Performed deep-dive analyses into user-site behavior to guide product decisions
  • Created R package to load, format, analyze Federal Air Quality Systems data